Intermediate Data Analysis for Research Students

Intermediate Data Analysis for Research Students helps you turn raw research data into clear, defensible results. Through focused notes, short instructional videos, and practical blog-guided reading, you’ll build intermediate skills in data cleaning, exploratory analysis, statistical modeling, and result communication. You’ll learn to choose appropriate methods (assumptions, effect sizes, confidence intervals), interpret outputs accurately, and avoid common analysis pitfalls. By the end, you’ll be able to produce analysis-ready datasets, perform reproducible workflows, write structured interpretations for papers or theses, and confidently justify your analytical decisions.